{"title":"利用基于 STC 的模型对乌尔米耶湖至 2030 年的水变化趋势进行时空预测","authors":"Hamed Ahmadi, Bahare Sadat Mousavi, Meysam Argany, Masoud Soleimani, Abolfazl Ghanbari","doi":"10.1080/02626667.2024.2383879","DOIUrl":null,"url":null,"abstract":"The purpose of this paper is to forecast the spatiotemporal water change trends in Urmia Lake through 2030. Three space-time cube-based models were applied. The Forest-based forecast model with a m...","PeriodicalId":13036,"journal":{"name":"Hydrological Sciences Journal","volume":"42 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatiotemporal forecasting of water change trends in Urmia Lake through to 2030, using STC-based models\",\"authors\":\"Hamed Ahmadi, Bahare Sadat Mousavi, Meysam Argany, Masoud Soleimani, Abolfazl Ghanbari\",\"doi\":\"10.1080/02626667.2024.2383879\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this paper is to forecast the spatiotemporal water change trends in Urmia Lake through 2030. Three space-time cube-based models were applied. The Forest-based forecast model with a m...\",\"PeriodicalId\":13036,\"journal\":{\"name\":\"Hydrological Sciences Journal\",\"volume\":\"42 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hydrological Sciences Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/02626667.2024.2383879\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hydrological Sciences Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02626667.2024.2383879","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spatiotemporal forecasting of water change trends in Urmia Lake through to 2030, using STC-based models
The purpose of this paper is to forecast the spatiotemporal water change trends in Urmia Lake through 2030. Three space-time cube-based models were applied. The Forest-based forecast model with a m...
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